Syllabus

Title
4854 Marketing Metrics and Performance Measurement A
Instructors
Assoz.Prof PD Dr. Christina Holweg, Mag. Johannes Linsbichler
Contact details
Sprechstunde nach Vereinbarung per E-Mail: christina.holweg@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/04/19 to 02/10/19
Registration via LPIS
Notes to the course
This class is only offered in summer semesters.
Dates
Day Date Time Room
Thursday 03/07/19 10:00 AM - 01:00 PM D2.0.392
Friday 03/08/19 09:00 AM - 12:00 PM D4.0.022
Thursday 03/14/19 03:00 PM - 06:00 PM TC.3.21
Thursday 03/21/19 03:00 PM - 06:00 PM TC.4.01
Thursday 03/28/19 03:00 PM - 06:00 PM D5.1.001
Thursday 04/04/19 03:00 PM - 06:00 PM D5.0.001
Thursday 04/11/19 12:00 PM - 02:00 PM TC.0.03 WIENER STÄDTISCHE
Monday 04/29/19 12:00 PM - 02:00 PM D2.2.487
Tuesday 04/30/19 12:00 PM - 02:00 PM D2.2.487
Thursday 05/09/19 09:30 AM - 12:30 PM D2.0.392
Contents

In recent years, data-based marketing and trade-marketing has swept through the business world. Generating insights through big data is the name of the game. In its wake, measurable performance and accountability have become key to marketing success. However, few managers appreciate the range of metrics to evaluate marketing strategies and dynamics. Fewer still understand the pros, cons, and nuances of each.

 

In this environment, we have come to recognize that marketers, general managers, and business students need a comprehensive, practical reference on the metrics used to judge marketing and trade-marketing programs and quantify their results.

Learning outcomes

By the end of this module, students should

- understand the scope of marketing metrics 

- apply marketing knowledge in practical problem solving for marketing and key account management 

- be able to judge the effectiveness of marketing strategies

- be able to transfer theoretical insights to concrete fields of application

- be able to concisely present a practical marketing project

Attendance requirements

80% presence in lectures is mandatory

Teaching/learning method(s)

This course blends lectures with discussions on business cases, a real-life case study and group presentations.

Assessment

35% group project and presentation

35% exam

15% active participation

15% homework

 

Availability of lecturer(s)
Last edited: 2018-12-03



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